Predictive Maintenance is all about predicting failures, to critical assets, in a timely fashion to allow for repair/replacement without too much or no upset(s) to production/processes.
The business case for running a Predictive Maintenance Program (PMP) is clear to most clients/companies. For many we find it is often unclear as to how to run an effective PMP and what techniques to embrace.
This post is too short to dive into the finesses of asset, part selection and using available data and engineering resources such as FMEAs and FMECAs to create models that predict failure and degradation … but long enough to focus on one of the important aspects in PMP: use of event asset data to enhance predictive models and detect early failures. Read more